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bit-office

by longyangxi

Pending

Pixel office for AI agents and multi-agent collaboration

100stars
20forks
TypeScript
Added 3/15/2026
View on GitHubDownload ZIP
AI Agentsablyai-agentsclaude-codeclicodexdeveloper-toolsgeminimulti-agentnextjsopenopenclaworchestrationpixel-artpwatelegram-bottypescriptwebsocket
Installation
# Add to your Claude Code skills
git clone https://github.com/longyangxi/bit-office
README.md
<div align="center">

Bit Office

Pixel office for AI agents and multi-agent collaboration

npm version License: MIT Node.js PRs Welcome

Support Claude, Codex, Gemini, Aider etc. — one team, getting better every project.

Quick Start | Features | Team Workflow | Architecture | Contributing

</div>

Image

What is Bit Office

Bit Office gives AI automation a visible, controllable workspace. Different AI models collaborate as one team under a Team Leader — planning, coding, reviewing, and delivering in a single flow, all rendered in a live pixel-art office you can watch, control, and share.

What makes it different: agents get better over time. Rate each project on creativity, visual quality, interaction, completeness, and engagement. Your ratings and review patterns are stored as persistent memory — the next time the team plans a project, they know what scored low and actively improve on it.

Quick Start

npx bit-office

That's it. This will:

  1. Start a local gateway daemon
  2. Open the pixel-art office UI in your browser
  3. Auto-detect installed AI CLIs (Claude, Codex, Gemini, Aider, OpenCode)
  4. Generate a pair code for mobile access

Features

Multi-Agent Teams

A Team Leader coordinates specialists like Developer and Code Reviewer to plan, implement, and validate tasks automatically.

Multi-Model Workflows

Run Claude, Codex, Gemini, Aider, and OpenCode together in one pipeline, letting each model focus on what it does best.

Pixel Office Workspace

Watch agents work in real time inside a PixiJS pixel-art office, with live status, logs, and progress visualization.

Instant Preview & Rating

Every completed task generates an auto preview. Rate the result across five dimensions — your feedback becomes persistent memory that shapes how agents approach the next project.

Self-Improving Agents

Review patterns, tech preferences, and project ratings are stored across sessions. Agents learn what you value and adapt — low visual scores lead to richer designs, recurring review failures get avoided automatically.

Token Cost Visibility

Track token usage per agent and per team in real time so you always know the cost of each run.

Live Sharing & Mobile Control

Invite others to watch progress, leave feedback, or manage sessions directly from your phone.

Cross-Device Sync

Real...

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